New Indices for Refining Multiple Choice Questions
Joint Authors
López-Fidalgo, J.
Amo-Salas, Mariano
Arroyo-Jimenez, María del Mar
Bustos-Escribano, David
Fairén-Jiménez, Eva
Source
Journal of Probability and Statistics
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-12-23
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
Multiple choice questions (MCQs) are one of the most popular tools to evaluate learning and knowledge in higher education.
Nowadays, there are a few indices to measure reliability and validity of these questions, for instance, to check the difficulty of a particular question (item) or the ability to discriminate from less to more knowledge.
In this work two new indices have been constructed: (i) the no answer index measures the relationship between the number of errors and the number of no answers; (ii) the homogeneity index measures homogeneity of the wrong responses (distractors).
The indices are based on the lack-of-fit statistic, whose distribution is approximated by a chi-square distribution for a large number of errors.
An algorithm combining several traditional and new indices has been developed to refine continuously a database of MCQs.
The final objective of this work is the classification of MCQs from a large database of items in order to produce an automated-supervised system of generating tests with specific characteristics, such as more or less difficulty or capacity of discriminating knowledge of the topic.
American Psychological Association (APA)
Amo-Salas, Mariano& Arroyo-Jimenez, María del Mar& Bustos-Escribano, David& Fairén-Jiménez, Eva& López-Fidalgo, J.. 2014. New Indices for Refining Multiple Choice Questions. Journal of Probability and Statistics،Vol. 2014, no. 2014, pp.1-8.
https://search.emarefa.net/detail/BIM-1042814
Modern Language Association (MLA)
Amo-Salas, Mariano…[et al.]. New Indices for Refining Multiple Choice Questions. Journal of Probability and Statistics No. 2014 (2014), pp.1-8.
https://search.emarefa.net/detail/BIM-1042814
American Medical Association (AMA)
Amo-Salas, Mariano& Arroyo-Jimenez, María del Mar& Bustos-Escribano, David& Fairén-Jiménez, Eva& López-Fidalgo, J.. New Indices for Refining Multiple Choice Questions. Journal of Probability and Statistics. 2014. Vol. 2014, no. 2014, pp.1-8.
https://search.emarefa.net/detail/BIM-1042814
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1042814